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Johnson and Johnson Innovative Medicine (J&J IM) a pharmaceutical company of Johnson & Johnson is recruiting for an Associate Director R&D Data Data Science and AI - Data Strategy and Products.

The primary location for this position is flexible either; Titusville NJ; Spring House PA; San Diego CA; Boston MA.

Remote work options may be considered on a case-by-case basis and if approved by the company.

An pre-identified candidate for consideration has been identified. However all applications will be considered.

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments finding cures and pioneering the path from lab to life while championing patients every step of the way.

Learn more at Summary

The R&D Data Science Digital Health - Data Strategy and Products Associate Director will contribute to the design and execution of a comprehensive cross-Therapeutic Area -focused data strategy program designed to accelerate research R&D insights and evidence generation.

Combining strategic planning with hands on execution within our federated organizational structure this director will embed closely across verticals to understand the what and the why while spending most the time driving the how. This involves acting as the connective tissue between teams -- identifying scientific data assets coordinating the building of biomedical data products evaluating data availability and applicability while operationalizing capabilities across the product lifecycle.

This individual will act a trusted partner to the broader Data Science Digital Health team bridging the intersection of clinical and computational needs and ensuring data fit and availability for scaling solutions across the organization.

Key Responsibilities

Strategy & Roadmap

• Define a multiyear vision and roadmap for enterprise knowledge management through knowledge graphs aligned with R&D priorities and therapeutic area strategies.

• Drive prioritization of omics clinical and experimental (ELN) knowledge integration based on scientific impact translational value and speedtoinsight.

• Establish clear lifecycle governance for knowledge graph assets ensuring sustained scientific relevance quality and reuse across programs.

Execution & Delivery

• Lead the design development and stewardship of semantically rich biomedical data models that unify heterogeneous omics clinical trial and experimental data into AIready knowledge graphs firmly grounded in biochemistry.

• Partner with data engineering and platform teams to build scale and operate highperformance knowledge graph services enabling advanced querying retrieval and downstream analytics across therapeutic areas.

• Orchestrate the creation of rich metadata lineage and provenance documentation ensuring trust reproducibility and scientific interpretability of knowledge assets.

Leadership

• Partner with advanced analytics and artificial intelligence teams to enable knowledgegraphaware discovery and insights generation across R&D use cases.

• Collaborate with scientific clinical and technical stakeholders to translate complex biomedical questions into knowledgeproductdriven solutions that span omics trials and experimental domains.

• Communicate knowledge graph strategy maturity and impact to senior leadership supporting datadriven R&D and portfolio decisions.

• Foster crossfunctional collaboration shared standards and best practices for knowledge contribution and stewardship integrating domain expertise bioinformatics and data science at scale.

Qualifications

Education

• Desired Ph.D. in bioengineering computer science IT bioinformatics physics mathematics or related fields emphasis on biomedical applications.

Skills & Expertise

• A minimum of 8 years of experience in pharma/biomedical R&D or commercial functions with significant exposure to diverse biomedical data assets management procurement and/or strategy; or 6 years of experience with an advanced degree.

• Demonstrated scientific excellence in biomedical R&D through consistent publishing as a lead author in the domains of bioinformatics knowledge graphs and data science.

• Deep experience with data quality control in high-stakes pharmaceutical or clinical domains and regulatory requirements around healthcare data.

• Prior experience and proven track record with leading multidisciplinary teams and influencing cross-functional stakeholders without direct authority.

• Experience should include direct responsibility for data products spanning multiple disease domains/therapeutic areas.

• Expertise in discovery-stage omics data (e.g. genomics transcriptomics proteomics epigenetics high-throughput screening) and how to connect these assets to translational biomarkers clinical endpoints downstream real-world evidence and R&D needs.

• Demonstrated experience constructing large-scale knowledge graphs/ontologies including integration across pharmaceutical and/or healthcare domains.

• Understanding of semantic web technologies (SPARQL RDF OWL) and experience leveraging graph databases (e.g. Graphwise GraphDB Neo4j) to solve biomedical problems.

• Proven experience working with complex multimodal biomedical datasets including genomics proteomics imaging phenotypic and high-throughput screening data.

• Proficiency working with common bioinformatics file formats (e.g. FASTQ BAM/SAM differential expression and QC reports) across multiomic assays and an understanding of the critical metadata associated with assay development including wetlab pipeline execution quality control parameters

• Hands-on experience managing teams collaborating using using Git and CI/CD platforms (Jenkins Bitbucket/GitHub) DevOps tooling metrics/monitoring and container technologies (Docker/Singularity) for reproducible data science.

• Experience designing observational studies cohort design survival analysis or clinical trials statistics and communicating limitations is a plus.

• Strong ability to translate complex technical work into business recommendations for cross-functional and senior stakeholders.

• Pragmatic problem solving focus on delivering usable outcomes quickly and iterating.

• Strategic thinker who can connect tactical work to longterm business goals.

• High standards for data quality reproducibility and documentation.

• Comfort working in ambiguity and shaping new capabilities at scale.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation external applicants please contact us via internal employees contact AskGS to be directed to your accommodation resource.

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Director